\[ f1 = 2 \times \frac{ precision \times recall}{precision + recall}\]
class weight="balanced" (preferred method for this course)alpha hyperparameter controls model complexity.alpha.alpha hyperparameteralpha:
alpha: Simpler model, smaller coefficients.alpha: Complex model, larger coefficients.TransformedTargetRegressor
Select all of the following statements which are TRUE.
X.alpha hyperparameter of Ridge has similar interpretation of C hyperparameter of LogisticRegression; higher alpha means more complex model.Ridge, smaller alpha means bigger coefficients whereas bigger alpha means smaller coefficients.Select all of the following statements which are TRUE.
sklearn for regression problems, using r2_score() and .score() (with default values) will produce the same results.GridSearchCV or RandomizedSearchCV for regression as well as classification problems.